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Deep convolutional neural network model based chemical process fault diagnosis
10.1016/j.compchemeng.2018.04.009 2018-04-11 Numerous accidents in chemical processes have caused emergency shutdowns, property losses, casualties and/or environmental disruptions in the chemical process industry. Fault detection and diagnosis (FDD) can help operators timely detect and diagnose abnormal... |
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Reactive Scheduling of Crude Oil using Structure Adapted Genetic Algorithm under Multiple Uncertainties
10.1016/j.compchemeng.2018.04.005 2018-04-03 Crude oil processed in marine access refineries contributes about 15 % of the total energy production worldwide. An optimized schedule of crude unloading and charging in these offers the best utilization of available resources to increase the profitability an... |
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A CFD simulation study of boiling mechanism and BOG generation in a full-scale LNG storage tank
10.1016/j.compchemeng.2018.04.003 2018-04-03 Despite heavy insulation, the unavoidable heat leak from the surroundings into an LNG (Liquefied Natural Gas) storage tank causes boil-off-gas (BOG) generation. A comprehensive dynamic CFD simulation of an onshore full-scale LNG tank in a regasification termi... |
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Optimal Synthesis of Periodic Sorption Enhanced Reaction Processes with Application to Hydrogen Production
10.1016/j.compchemeng.2018.04.004 2018-04-03 A systematic design and synthesis framework for multi-step, multi-mode and periodic sorption-enhanced reaction processes (SERP) is presented. The formulated nonlinear algebraic and partial differential equation (NAPDE)-based model simultaneously identifies op... |
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Optimization-based approach for maximizing profitability of bioethanol supply chain in Brazil
10.1016/j.compchemeng.2018.04.001 2018-04-03 In this work, a mathematical approach for optimizing and planning the Brazilian bioethanol supply chains (SC) is presented. The optimization problem has an MILP formulation, aiming to maximize the net present value (NPV) of the entire SC of the sugar and bioe... |
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Computer aided chemical product design - ProCAPD & tailor-made blended products
10.1016/j.compchemeng.2018.03.029 2018-04-01 In chemical product design, application of computer-aided methods helps to design as well as improve products to reach the market faster by reducing time-consuming experiments at the early stages of design. That is, experiments are performed during the later ... |
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Distributed fault diagnosis for networked nonlinear uncertain systems
10.1016/j.compchemeng.2018.03.026 2018-03-30 In this work, we address the problem of simultaneous fault diagnosis in nonlinear uncertain networked systems utilizing a distributed fault detection and isolation (FDI) strategy. The key idea is to design a bank of local FDI (LFDI) schemes that communicate w... |
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Errata: Heat Exchanger Network Cleaning Scheduling: From Optimal Control to Mixed-Integer Decision Making
10.1016/j.compchemeng.2018.03.028 2018-03-30 Errata to the article by [Al Ismaili, R., Lee, M., Wilson, D., Vassiliadis, V., 2018. Heat exchanger network cleaning scheduling: From optimal control to mixed-integer decision making. Computers & Chemical Engineering 111, 1–15.] on the optimal scheduling of ... |
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Steady-State Real-Time Optimization using Transient Measurements ☆
10.1016/j.compchemeng.2018.03.021 2018-03-29 Real-time optimization (RTO) is an established technology, where the process economics are optimized using rigourous steady-state models. However, a fundamental limiting factor of current static RTO implementation is the steady-state wait time. We propose a “... |
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A Methodology to Reduce the Computational Cost of Transient Multiphysics Simulations for Waste Vitrification
10.1016/j.compchemeng.2018.03.027 2018-03-29 Legacy radioactive waste stored in tanks at the Hanford Site is scheduled to undergo vitrification in Joule-heated melters. A carefully calibrated computational fluid dynamics model has been developed to characterize fluid flow, chemistry and heat transfer in... |